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Web Mining as a Tool for Understanding Online Learning
After an introduction to Web mining and e-learning and a brief review of Web mining applications in business and education, this paper presents an experiment with pattern classification for student performance prediction in a WebCT learning environment. The results illustrate that recognition for a certain class (with good grades) on a large data set can be obtained by a classifier built from a small size data set. The paper concludes that Web mining can be an approach to build knowledge about E-learning and has potential to help improve learning performance.
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More about this material
- Material Type:
- Open (Access) Journal-Article
- Date Added to MERLOT:
- July 7, 2014
- Date Modified in MERLOT:
- July 7, 2014
- Authors:
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Jiye Ai,
University of Missouri-Columbia
James Laffey, University of Missouri-Columbia - Submitter:
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Barbra Bied Sperling
- Primary Audience:
- College General Ed, College Lower Division, College Upper Division, Graduate School
- Mobile Compatibility:
- Not specified at this time
- Technical Requirements:
- Adobe Reader for pdf
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Accessibility Information Available:
- Unknown
- Creative Commons:
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
